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O-WCNN: an optimized integration of spatial and spectral feature map for arrhythmia classification.

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第一作者： Manisha,Jangra

第一单位： Department of Electronics and Communication Engineering, Guru Jambheshwar University of Science and Technology, Hisar, Haryana India.

作者： Manisha,Jangra ^[1] ; Sanjeev Kumar,Dhull ^[1] ; Krishna Kant,Singh ^[2] ; Akansha,Singh ^[3] ; Xiaochun,Cheng ^[4]

作者单位： Department of Electronics and Communication Engineering, Guru Jambheshwar University of Science and Technology, Hisar, Haryana India. ^[1] Faculty of Engineering and Technology, Jain (Deemed-to-be University), Bengaluru, India. ^[2] Department of Computer Science Engineering, ASET, Amity University Uttar Pradesh, Noida, India. ^[3] Department of Computer Science, Middlesex University, London, UK. ^[4]

关键词 Arrhythmia CNN Deep learning Depthwise separable convolution ECG Wavelet transform

DOI 10.1007/s40747-021-00371-4

PMID 34777963

发布时间 2023-09-28

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Complex & intelligent systems

2023年9卷3期

2685-2698页

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Complex & intelligent systems

2023年9卷3期

2685-2698页

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O-WCNN: an optimized integration of spatial and spectral feature map for arrhythmia classification.

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O-WCNN: an optimized integration of spatial and spectral feature map for arrhythmia classification.

Complex & intelligent systems

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